chistopher / girgsLinks
Linear-time sampling algorithm for geometric inhomogeneous random graphs with a special case implementation for hyperbolic random graphs.
☆15Updated last year
Alternatives and similar repositories for girgs
Users that are interested in girgs are comparing it to the libraries listed below
Sorting:
- A Python tool to visualize geometric shapes in the native representation of hyperbolic space.☆10Updated 5 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆14Updated last year
- Python functions to compute multiparameter persistence landscapes from a RIVET file☆13Updated last year
- Code for computing Hypergraph Co-Optimal Transport distances☆16Updated 2 years ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆12Updated 6 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- ☆12Updated 4 years ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated 4 months ago
- ☆11Updated 2 years ago
- gSparse: C++ Library for Graph Sparsification☆12Updated 5 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Graph Metric Learning in PyTorch☆10Updated 4 years ago
- Experiments and content for the "Accelerating hyperbolic t-SNE" paper.☆15Updated 11 months ago
- Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications☆12Updated 6 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆21Updated last year
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated last year
- Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.☆11Updated 3 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- ☆11Updated last year
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆26Updated 3 years ago
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆17Updated 2 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Updated 2 years ago
- Approximate subgraph motif mining through learnable edge contraction.☆13Updated 2 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 3 years ago